Keygen AutoCAD Electrical 2014 Portable
AutoCAD electrical is a CAD design software for electrical engineering students. This includes complete AutoCAD Electrical 2014 Download Free suite along with more electrical features. Complete Automation supports for Electrical Circuit designs. Download AutoCAD Electrical 2014 and increase productivity of all tools which help electrical engineer professionals. All electrical programs and schematics are supported in latest version of Autocad electrical.
keygen AutoCAD Electrical 2014 portable
You can create complete circuit diagrams with Autocad electrical software. Complete Real time simulation can be done in Autocad electrical 2014. It can also be used along with Download Autodesk Alias Automotive 2014 Free to design and develop car electrical circuits. Generate 3D diagrams of circuit. Autocad electrical is designed on industry principles. You can extract detailed reporting and documentation of your engineering projects. You can also download autocad electrical 2013 for electrical control designers.
Download AutoCAD Electrical 2014 and share collaborate DWG files with developers and stakeholders. Even if you are not in engineering field still it can ease you with drag and drop functions which are very easy. You can also install autocad electrical add on to improve the usability of software. Autocad electrical training course are also provided as online cad program on official Autocad site. Where you can learn how to use autocad electrical circuit builder. There are couple of example also given in autocad program which help to learn how to autocad.
Data mining is one of the data processing techniques to collect information from a set of stored data. Every day the consumption of electricity load is recorded by Electrical Company, usually at intervals of 15 or 30 minutes. This paper uses a clustering technique, which is one of data mining techniques to analyse the electrical load profiles during 2014. The three methods of clustering techniques were compared, namely K-Means (KM), Fuzzy C-Means (FCM), and K-Means Harmonics (KHM). The result shows that KHM is the most appropriate method to classify the electrical load profile. The optimum number of clusters is determined using the Davies-Bouldin Index. By grouping the load profile, the demand of variation analysis and estimation of energy loss from the group of load profile with similar pattern can be done. From the group of electric load profile, it can be known cluster load factor and a range of cluster loss factor that can help to find the range of values of coefficients for the estimated loss of energy without performing load flow studies.